code: def make_recog_args(**kwargs):
      recog_defaults = dict(
          batchsize=0,
          beam_size=1,
          nbest=1,
          verbose=0,
          search_type="default",
          nstep=1,
          max_sym_exp=2,
          u_max=5,
          prefix_alpha=2,
          softmax_temperature=1.0,
          score_norm_transducer=True,
          rnnlm=None,
          lm_weight=0.1,
      )
      recog_defaults.update(kwargs)
  
      return argparse.Namespace(**recog_defaults)
  
imports: import argparse
  import json
  import tempfile
  import pytest
  import torch
  from packaging.version import parse
  import espnet.lm.pytorch_backend.extlm
  import espnet.nets.pytorch_backend.lm.default
  from espnet.asr.pytorch_backend.asr_init import load_trained_model
  from espnet.nets.beam_search_transducer import BeamSearchTransducer
  from espnet.nets.pytorch_backend.e2e_asr_transducer import E2E
  from espnet.nets.pytorch_backend.transducer.blocks import build_blocks
label_desc: Use image node_id 2 for calling a global function with example usage: make_recog_args() and returns: argparse